ArticleSurgical neurology international2026
Improving the definition of glioblastoma resection borders with intraoperative cone-beam computed tomography.
Article in Surgical neurology international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: To assess the effectiveness of intraoperative cone-beam computed tomography (CBCT) in defining tumor resection margins during glioblastoma surgery. Methods: This study included glioblastoma patients who underwent surgery between 2017 and 2023. All patients underwent pre- and postoperative magnetic resonance imaging (MRI) and intraoperative CBCT before and after craniotomy. Tumors and cavities were segmented by two neurosurgeons, and fusion images were generated. Interrater and intermethod agreements were evaluated using intraclass correlation coefficients (ICC), and volume shapes were compared using Dice and Hausdorff similarity metrics. Results: A total of 21 glioblastoma tumors and 20 cavities were analyzed. The median segmented volume was 32.8 cm Conclusion: CBCT provides intraoperative visualization of glioblastomas, postcraniotomy bleeding, and cavities, enhancing resection margin definition. It is a promising tool for improving glioblastoma resection in a hybrid operating room.
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